--- title: Blurry keywords: fastai sidebar: home_sidebar summary: "**Blurry** detects faces in photos and blurs them to increase privacy." description: "**Blurry** detects faces in photos and blurs them to increase privacy." nb_path: "00_core.ipynb" ---
Helper function to show cv2 images in Jupyter notebook
def show_inline_img(img: np.ndarray) -> None:
display(Image.fromarray(img))
Simple Gaussian blur
Testing blur:
test_img = cv2.imread('test_images/group.jpg') #np.zeros((20,20,3), dtype = np.uint8)
assert test_img.shape == blur(test_img).shape, "function should not change shape of array"
assert test_img.shape == blur(test_img, kernel_size=4).shape, "even number for kernel size should be autocorrected"
Find faces. Using pretrained haar cascade from OpenCV.
faces = find_faces(test_img)
assert len(faces) == 7, "there should be 7 faces in the group test image"
Does it work?
img = test_img.copy()
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
show_inline_img(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
img = load_img('test_images/group_closer.jpg')
show_inline_img(anonymize(img, factor=0.5))
show_inline_img(anonymize(img, factor=3))
test_bulk('test_images', factor=1)